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Cloud Scalability Specialist for AI Deployment

vor 1 Woche


Zürich, Zürich, Schweiz TN Switzerland Vollzeit

Noimos is a dynamic and innovative start-up that's changing the face of the insurance industry through its use of machine learning, computer vision, and design. We're currently looking for an experienced MLOps Engineer to help us build and maintain our cloud infrastructure.

In this role, you'll be working closely with our ML engineering team to design, implement, and maintain MLOps infrastructure on GCP. This will involve setting up Terraform, Pub/Sub, Vertex AI, CI/CD, and GitHub Actions to ensure scalability, automation, and reliability.

You'll also be acting as a Subject Matter Expert for MLOps and infrastructure, providing guidance and support to the team on deploying and maintaining ML models in production. Additionally, you'll be responsible for building and optimizing CI/CD pipelines for efficient training, serving, and monitoring of ML models.

Key Responsibilities:

  • Design, implement, and maintain MLOps infrastructure on GCP (Terraform, Pub/Sub, Vertex AI, CI/CD, GitHub Actions) to ensure scalability, automation, and reliability.
  • Act as a Subject Matter Expert for MLOps and infrastructure, setting best practices and guiding the team in deploying and maintaining ML models in production.
  • Build and optimize CI/CD pipelines for efficient training, serving, and monitoring of ML models, ensuring seamless operations at scale.

About You:

  • You have 2+ years of experience with DevOps and MLOps concepts, ideally using GitHub workflows, with a strong focus on infrastructure scalability and automation.
  • Furthermore, you gained 5+ years of experience in data science or software engineering projects, with a particular focus on Deep Learning and Computer Vision, including deploying and maintaining ML models in production.
  • You enrich your team with strong programming skills in Python, incl. clean/modular and production-ready code.